Senior Manager, Financial Crimes- Data Analytics

Overview

At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause turning insight into opportunity for clients and communities around the world. We don’t just respond to financial crime; we redefine how the industry manages risk. Our newly launched National Financial Crimes Centre of Excellence (FC COE) is a bold step forward in the fight against money laundering, corruption, and emerging threats.

This is your opportunity to be part of a purpose‑driven team that combines cutting‑edge analytics, global insights, and deep regulatory expertise to protect the financial system and build trust in society.

• Coordinate the management and execution of client engagements focused on financial crimes analytics in AML, sanctions compliance, anti‑corruption, and anti‑tax evasion.
• Lead a team of financial crime consultants and senior consultants while ensuring that the quality of the team’s deliverables meets KPMG’s standards of excellence and clients’ needs.
• Act as subject‑matter expert on financial crimes technology and analytics so that we can provide services in compliance with best practices, legal requirements, and the firm’s standards of excellence.
• Collaborate with a diverse range of regulated entities to tackle financial crime issues, including AML and Global Sanctions, across all three lines of defense.
• Lead financial crimes compliance analytics initiatives by spearheading the development and implementation of innovative solutions that improve the efficiency and effectiveness of financial crime prevention efforts.
• Lead the design, validation, review, optimization, and audit across various financial crimes models (AML, TM, Sanctions, Customer Risk). Include statistical, machine‑learning, and AI models for traditional financial institutions, correspondent banks, insurance providers, brokerages, Fin Techs, online marketplaces and MSB’s regulated by OSFI, FINTRAC, OCC, Federal Reserve, and the New York DFS.
• Lead model tuning, segmentation, and threshold calibration activities to improve detection accuracy and reduce false positives.
• Lead data analysis and remediation efforts, including data mapping, cleansing, and validation to support system implementation and regulatory reporting.
• Conduct data analytics to test and validate financial crime systems and models using SQL, Python, R and other programming languages, performing statistical analyses on samples, interpreting results, and summarizing findings.
• Lead the design and development of assets that employ advanced analytical tools, including intelligent automation and large language models, as part of anti‑financial crime initiatives.
• Lead the management of engagement risks for both internal and external stakeholders; serve as a solution leader, supervising staff‑level teams and providing guidance and training.
• Support clients with technical risk and control reviews, ensuring that compliance projects are executed accurately and aligned with the latest regulatory requirements, expectations and industry best practices.
• Collaborate with cross‑functional teams across KPMG’s national and global network to deliver integrated solutions and thought leadership.
• Mentor and develop junior team members, fostering a culture of excellence, inclusion, and continuous learning.

• Minimum 8+ years’ experience in financial crimes compliance, including AML, Global Sanctions, Anti‑Bribery and Corruption (ABC), or model risk management within the financial or professional services sectors.
• Bachelor’s degree in business administration, finance, accounting, economics, engineering, data science, computer science, information systems, statistics, math or a related quantitative field.
• Master’s degree (MS or MBA) is an asset.
• Comprehensive understanding of money‑laundering schemes and the legal and regulatory framework surrounding AML and sanctions, especially FINTRAC, OSFI, OCC, OFAC, FinCEN.
• Experience with Transaction Monitoring Vendor Solutions, KYC Vendor Solutions, and OFAC sanctions screening solutions is advantageous.
• Proficiency in data engineering, analytical research, statistical sampling and technical…